Department of Otorhinolaryngology, Jikei University School of Medicine, Nishi-Shimbashi, Minato-ku, Tokyo, Japan.
Department of Otolaryngology, Head and Neck Surgery, Toho University Faculty of Medicine, Tokyo, Japan.
Sci Rep. 2023 Aug 2;13(1):12439. doi: 10.1038/s41598-023-38913-0.
Sinonasal inverted papilloma (IP) is at risk of recurrence and malignancy, and early diagnosis using nasal endoscopy is essential. We thus developed a diagnostic system using artificial intelligence (AI) to identify nasal sinus papilloma. Endoscopic surgery videos of 53 patients undergoing endoscopic sinus surgery were edited to train and evaluate deep neural network models and then a diagnostic system was developed. The correct diagnosis rate based on visual examination by otolaryngologists was also evaluated using the same videos and compared with that of the AI diagnostic system patients. Main outcomes evaluated included the percentage of correct diagnoses compared to AI diagnosis and the correct diagnosis rate for otolaryngologists based on years of practice experience. The diagnostic system had an area under the curve of 0.874, accuracy of 0.843, false positive rate of 0.124, and false negative rate of 0.191. The average correct diagnosis rate among otolaryngologists was 69.4%, indicating that the AI was highly accurate. Evidently, although the number of cases was small, a highly accurate diagnostic system was created. Future studies with larger samples to improve the accuracy of the system and expand the range of diseases that can be detected for more clinical applications are warranted.
鼻腔鼻窦内翻性乳头状瘤（IP）有复发和恶变的风险，早期使用鼻内窥镜诊断至关重要。因此，我们开发了一种使用人工智能（AI）识别鼻鼻窦乳头状瘤的诊断系统。编辑了 53 名接受内窥镜鼻窦手术患者的手术视频，以训练和评估深度神经网络模型，然后开发了诊断系统。还使用相同的视频评估了基于耳鼻喉科医生视觉检查的正确诊断率，并与 AI 诊断系统患者进行了比较。主要评估结果包括与 AI 诊断相比的正确诊断率，以及基于从业年限的耳鼻喉科医生的正确诊断率。该诊断系统的曲线下面积为 0.874，准确率为 0.843，假阳性率为 0.124，假阴性率为 0.191。耳鼻喉科医生的平均正确诊断率为 69.4%，表明 AI 非常准确。显然，尽管病例数量较少，但创建了一个高度准确的诊断系统。未来需要进行更大样本量的研究，以提高系统的准确性，并扩大可检测疾病的范围，以便更广泛地应用于临床。
